high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

A real-time 1080p 2D-to-3D video conversion system

Sung-Fang Tsai, Chao-Chung Cheng, Chung-Te Li, Liang-Gee Chen

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Tags: Algorithms, Computational Complexity, Computer science, nVidia, Rendering, Stereo vision

August 3, 2011 by hgpu

Computing the Mertens function on a GPU

Eugene Kuznetsov

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Tags: Mathematics, Number Theory, nVidia, nVidia GeForce GTX 560

August 2, 2011 by hgpu

Multi-scale modeling of nano scale phenomenon using CUDA based HPC setup

Rohit Pathak, Satyadhar Joshi

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Tags: Algorithms, CUDA, Mesoscale and Nanoscale Physics, nVidia, Physics

August 2, 2011 by hgpu

Dynamic IBR Techniques for Fixed Cost Stereoscopic Support

Jason Kimball, Vid Petrovic, Falko Kuester

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Tags: 3D Graphics and Realism, ATI, ATI Mobility Radeon 9700, Computer science, Image reconstruction, OpenGL, Rendering

August 2, 2011 by hgpu

Real-time video watermarking on programmable graphics hardware

Alan Brunton, Jiying Zhao

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Tags: ATI, ATI Radeon 9500 Pro, Image processing, nVidia, nVidia GeForce 6800, Pixel shaders, Security

August 2, 2011 by hgpu

A Hybrid Method for Computing Apparent Ridges

Eric Jardim, Luiz Henrique de Figueiredo

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Tags: Algorithms, Computer science, GLSL, nVidia, nVidia GeForce 8200 M, nVidia Quadro FX 5600, Rendering

August 2, 2011 by hgpu

Real-time color holographic video display system

Fahri Yaras, Hoonjong Kang, Levent Onural

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Tags: Algorithms, Computer holography, Computer science, nVidia, nVidia GeForce GTX 280, Real-time graphics

August 2, 2011 by hgpu

Hyperfast Parallel–Beam Backprojection

Marc Kachelriess, Michael Knaup, Olivier Bockenbach

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Tags: Algorithms, Cell processor, Computer science, Data mining, Distributed computing, Image reconstruction, Nearest neighbour, Performance, Tomography

August 2, 2011 by hgpu

Unifying stream based and reconfigurable computing to design application accelerators

Bruno Francisco, Frederico Pratas, Leonel Sousa

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Tags: Bioinformatics, Biology, Computer science, Data parallelism, FPGA, nVidia, nVidia GeForce GTX 285

August 2, 2011 by hgpu

Potential contribution of CNN-based solving of stiff ODEs and PDEs to enabling real-time Computational Engineering

J.C. Chedjou, K. Kyamakya, U.A. Khan, M.A. Latif

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Tags: Cellular neural networks, CNN, Computational Engineering, Computer science, Differential equations, DSP, FPGA, Maxwell's equations, Neural networks, ODEs, Optimization, Ordinary differential equations, Partial differential equations, PDEs

August 2, 2011 by hgpu

Cost-effective low-power graphics processing unit for handheld devices

Byeong-Gyu Nam, Jeabin Lee, Kwanho Kim, Seungjin Lee, Hoi-Jun Yoo

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Tags: Computer science, Hardware Architecture, OpenGL, Review

August 2, 2011 by hgpu

Performance Debugging of GPGPU Applications with the Divergence Map

Bruno Coutinho, Diogo Sampaio, Fernando M. Q. Pereira, Wagner Meira Jr.

Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Performance, PTX

August 1, 2011 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

A real-time 1080p 2D-to-3D video conversion system

Computing the Mertens function on a GPU

Multi-scale modeling of nano scale phenomenon using CUDA based HPC setup

Dynamic IBR Techniques for Fixed Cost Stereoscopic Support

Real-time video watermarking on programmable graphics hardware

A Hybrid Method for Computing Apparent Ridges

Real-time color holographic video display system

Hyperfast Parallel–Beam Backprojection

Unifying stream based and reconfigurable computing to design application accelerators

Potential contribution of CNN-based solving of stiff ODEs and PDEs to enabling real-time Computational Engineering

Cost-effective low-power graphics processing unit for handheld devices

Performance Debugging of GPGPU Applications with the Divergence Map

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

Most viewed papers (last 30 days)